Modernizing a 300K-Worker Staffing Platform with a Dedicated Engineering Team
One of North America's leading on-demand staffing firms replaced aging technology with an agile, scalable digital platform and a dynamic pricing model, built with a HatchWorks engineering team that grew from 2 pods to 50+ engineers over a five-year partnership.
At a crossroads with digital-first competitors
One of North America's leading on-demand staffing firms found themselves at a crossroads, with digital-first competitors primed to capture their market share. They needed a digital transformation to evolve a business that dispatches over 300K temporary workers a year.
The transformation had to be cost effective, without sacrificing quality or disrupting current customers' experience, and it had to run on real-time collaboration and Agile delivery. The goal: transition from aging technology to a more agile and scalable digital platform with a dynamic pricing model, drawing on HatchWorks' expertise in software development, cloud migration, machine learning, and digital transformation.
Declining revenue, inflexible technology
The firm faced declining revenues due to the rise of the gig economy, and its existing technology infrastructure lacked the flexibility to respond. The challenge was twofold.
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01
Rapidly scale up with the right technical expertise
The transformation needed more engineering capacity, and the right skills, faster than in-house hiring could deliver.
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02
Do it cost-effectively without compromising on quality
Keep the current customer experience intact while the platform changed underneath it.
Proof of concept first, then pods that scale with demand
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01
Assess and prove
HatchWorks assessed the existing technology stack, understood the requirements, and developed a proof of concept, providing design and product expertise from the start.
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02
Start with two pods
A dedicated team of software developers from Latin America was integrated, starting with 2 pods and then scaling up to meet demand, supporting both new product development and support of the legacy solution.
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03
Embed machine learning
The team additionally embedded machine learning into the client's solution.
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04
Collaborate in real time, transition without disruption
Aligned US and Latin America time zones enabled an Agile approach with real-time collaboration, regular updates, and a seamless transition from the legacy system.
Capacity grew with demand, never ahead of it, while the legacy solution stayed supported the whole way.
A modern platform, and a path for growth
The engagement delivered a modern digital platform that addressed the firm's immediate challenges and set them on a path for future growth, in support of the 300K people they put to work every year. The new system allows the firm to adapt to industry changes swiftly.
Cost savings came in at approximately half of what they would have incurred with onshore alternatives. What began as a transformation project became a long-term, continuously beneficial partnership rather than a one-and-done engagement.
Aging technology that lacked flexibility as the gig economy grew
Declining revenues with digital-first competitors primed to take share
No fast, cost-effective way to add the technical expertise required
An agile, scalable digital platform with a dynamic pricing model
Swift adaptation to industry changes, with machine learning embedded
A 50+ engineer team at roughly half the cost of onshore alternatives
The partnership in numbers
temporary workers dispatched every year
engineers on the team today, up from 2 pods
years of continuous partnership
of the cost of onshore alternatives
Cost savings are approximate, as stated by the client.
In their words
“HatchWorks nearshore delivery model has transformed the way we work. Their engineering teams seamlessly integrated with ours making collaboration easy. We have trusted them for over 5 years and now have a team of 50+ nearshore engineers helping accelerate our digital transformation.”
About the work
HatchWorks AI turns AI into ROI by automating key business processes, transforming data, deploying intelligent agents, and shipping AI-powered products that deliver measurable results. Its proprietary Generative-Driven Development methodology is a repeatable path from idea to production, blending AI, agents, and engineering to ship faster with less risk.
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